Digital Engagement Lab

The Digital Engagement Lab focuses on advancing our understanding of how digital content structures impact audience engagement. Under Professor Ronald Yaros, we're developing innovative tools and methodologies to analyze news presentation patterns and create more effective digital storytelling formats.

📊 New View Visualizations

Digital data "scraped" from various sites visualizes comparisons of how different sources present different types of content. This data is used to develop and test more effective structures.

CNN vs FOX News Analysis

This visualization tool compares how CNN and FOX News structure their digital content across three key metrics:

Images per Article

Analyzing visual content density across news sources

Words per Article

Measuring article length and content depth

Image Size per Article

Tracking visual emphasis and layout patterns

CNN vs FOX News visualization dashboard showing content structure comparison

🤖 New View News App

An AI tool that converts any story (simply by pasting in the link) to the "Smart Story Suite" format. Beyond a target audience consuming linear content, this "Smart Story Structure" addresses the multiple needs of users who also assemble a narrative that most meaningful to them.

The Smart Story Suite Format

This innovative format transforms traditional linear news articles into interactive, modular experiences. Users can navigate through story sections, explore different perspectives, and customize their reading experience based on their interests and available time.

Smart Story Suite interface showing modular news presentation with sectioned navigation
Interface Components Breakdown:
Article Input (Top)

Users simply paste any news URL and click "Analyze Article" to convert linear content

View Toggle (Top Right)

"Summary View" and "Detailed View" buttons let users choose their reading depth

Explore Sections (Left Panel)

Navigable story sections like "Lawsuit Against OpenAI," "Previous Lawsuits," and "OpenAI's Response" - allowing users to jump to topics of interest

Story Highlights & Summary (Center)

Key points presented as digestible bullet points, plus a comprehensive summary for quick understanding

Story Details Panel (Right)

Metadata including publication date, source, author, and direct link to original article

Engagement Score (SPICE)

Shows "Total: 15/25" with breakdown (S4 P2 I2 C4 E4) - measuring the original article's Scannability, Personalization, Interactivity, Curated content, and Emotion. The algorithmic calculation is still in development; currently uses rough estimates.

Content Similarity Score

Shows "84%" with "Excellent" rating - the Dice coefficient tracking how much original content is preserved

Visual Media Integration

Original article images and additional media preserved and organized for enhanced visual storytelling

📋 Sectioned Navigation

Stories broken into digestible, navigable sections

🎯 User-Driven Experience

Readers choose their own narrative path

📊 Enhanced Engagement

Proven to increase reader engagement

🔗 One-Click Conversion

Simply paste any news URL to convert

Content Integrity Protection

A major concern for news outlets is ensuring AI doesn't alter their authors' original words. To address this, the system calculates a similarity score using the Dice coefficient, which tracks how much of the original text the AI has changed.

Dice Coefficient Formula:
Dice(A, B) = 2 × |A ∩ B| / (|A| + |B|)

Where A = original text tokens, B = processed text tokens, and |A ∩ B| represents the intersection (common tokens). Higher scores indicate better content preservation, with 1.0 being perfect similarity.

📖 Upcoming Publication

The New View News project will be featured in Professor Yaros's upcoming book, providing academic context for the Smart Story Suite format and its applications in digital journalism.

📚 Book Details

The Digital Engagement Model

by Ronald Yaros

Publication Date:
November 30, 2025
ISBN-13:
9783032038210

🚀 The Future of News Presentation

Professor Yaros sees the Smart Story Suite format as the future of digital news presentation. Early research indicates this approach significantly increases reader engagement by allowing users to construct their own meaningful narratives from the available content.

Research Impact

📈 Increased Engagement

Proven to boost reader interaction and time-on-page

🔬 Academic Research

Contributing to media studies and digital journalism research

🌐 Industry Applications

Potential to transform how news organizations present content

👥 User-Centric Design

Puts reader needs and preferences at the center

🎓 Key Takeaways

Working under Professor Yaros at the Digital Engagement Lab has provided invaluable experience in academic research methodology, data analysis, and the intersection of technology and media studies. These projects demonstrate how technical innovation can advance important research in communications and digital media, with practical implications for the future of digital journalism and content strategy.